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Blockchain technology: principles and applications
Abstract
This chapter expounds the main principles behind blockchain technology and some of its cutting-edge applications. We first present the core concepts of the blockchain. Secondly, we discuss a definition put forward by Vitalik Buterin, we sketch out the shift toward hybrid solutions, and we sum up the main features of decentralized crypto-ledger platforms. Thirdly, we show why the blockchain is a disruptive and foundational technology, but we expose the potential risks and drawbacks of public distributed ledgers that account for the shift toward hybrid solutions. Finally, we present a non-exhaustive list of important applications, bearing in mind the most recent developments.
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Metadata
- Authors
- Pilkington, M.
- Affiliations
- Laboratoire d'économie de Dijon (FR)
- Corresponding author
- Pilkington, Marc
- ORCID
- Pilkington, Marc
- Venue
- Research Handbook on Digital Transformations
- Publisher
- Edward Elgar Publishing
- Published
- 2016-09-30
- OpenAlex
- W2290426788
- Cited by
- 1,627
- References
- 3
- Citations by year
- 2026: 46 · 2025: 115 · 2024: 178 · 2023: 180 · 2022: 207 · 2021: 219 · 2020: 247 · 2019: 221 · 2018: 147 · 2017: 52 · 2016: 14
- FWCI
- 488.92
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Edward Elgar Publishing eBooks (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
- Physical Sciences › Computer Science › Information Systems › Blockchain Technology in Education and Learning
- Social Sciences › Law › Digital Transformation in Law
- Keywords
- blockchain, distributed ledger technology, public blockchain, blockchain applications, disruptive technologies
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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